tesseract/unittest/resultiterator_test.cc

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#include <allheaders.h>
#include <tesseract/baseapi.h>
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#include <tesseract/resultiterator.h>
#include <string>
#include "scrollview.h"
#include "include_gunit.h"
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#include "log.h" // for LOG
namespace tesseract {
// DEFINE_string(tess_config, "", "config file for tesseract");
// DEFINE_bool(visual_test, false, "Runs a visual test using scrollview");
// The fixture for testing Tesseract.
class ResultIteratorTest : public testing::Test {
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protected:
std::string TestDataNameToPath(const std::string &name) {
return file::JoinPath(TESTING_DIR, name);
}
std::string TessdataPath() {
return file::JoinPath(TESSDATA_DIR, "");
}
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std::string OutputNameToPath(const std::string &name) {
file::MakeTmpdir();
return file::JoinPath(FLAGS_test_tmpdir, name);
}
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ResultIteratorTest() {
src_pix_ = nullptr;
}
~ResultIteratorTest() override = default;
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void SetImage(const char *filename) {
src_pix_ = pixRead(TestDataNameToPath(filename).c_str());
api_.Init(TessdataPath().c_str(), "eng", tesseract::OEM_TESSERACT_ONLY);
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// if (!FLAGS_tess_config.empty())
// api_.ReadConfigFile(FLAGS_tess_config.c_str());
api_.SetPageSegMode(tesseract::PSM_AUTO);
api_.SetImage(src_pix_);
src_pix_.destroy();
src_pix_ = api_.GetInputImage();
}
// Rebuilds the image using the binary images at the given level, and
// EXPECTs that the number of pixels in the xor of the rebuilt image with
// the original is at most max_diff.
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void VerifyRebuild(int max_diff, PageIteratorLevel level, PageIterator *it) {
it->Begin();
int width = pixGetWidth(src_pix_);
int height = pixGetHeight(src_pix_);
int depth = pixGetDepth(src_pix_);
Image pix = pixCreate(width, height, depth);
EXPECT_TRUE(depth == 1 || depth == 8);
if (depth == 8) {
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pixSetAll(pix);
}
do {
int left, top, right, bottom;
PageIteratorLevel im_level = level;
// If the return is false, it is a non-text block so get the block image.
if (!it->BoundingBox(level, &left, &top, &right, &bottom)) {
im_level = tesseract::RIL_BLOCK;
EXPECT_TRUE(it->BoundingBox(im_level, &left, &top, &right, &bottom));
}
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LOG(INFO) << "BBox: [L:" << left << ", T:" << top << ", R:" << right << ", B:" << bottom
<< "]"
<< "\n";
Image block_pix;
if (depth == 1) {
block_pix = it->GetBinaryImage(im_level);
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pixRasterop(pix, left, top, right - left, bottom - top, PIX_SRC ^ PIX_DST, block_pix, 0, 0);
} else {
block_pix = it->GetImage(im_level, 2, src_pix_, &left, &top);
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pixRasterop(pix, left, top, pixGetWidth(block_pix), pixGetHeight(block_pix),
PIX_SRC & PIX_DST, block_pix, 0, 0);
}
CHECK(block_pix != nullptr);
block_pix.destroy();
} while (it->Next(level));
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// if (base::GetFlag(FLAGS_v) >= 1)
// pixWrite(OutputNameToPath("rebuilt.png").c_str(), pix, IFF_PNG);
pixRasterop(pix, 0, 0, width, height, PIX_SRC ^ PIX_DST, src_pix_, 0, 0);
if (depth == 8) {
Image binary_pix = pixThresholdToBinary(pix, 128);
pix.destroy();
pixInvert(binary_pix, binary_pix);
pix = binary_pix;
}
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// if (base::GetFlag(FLAGS_v) >= 1)
// pixWrite(OutputNameToPath("rebuiltxor.png").c_str(), pix, IFF_PNG);
l_int32 pixcount;
pixCountPixels(pix, &pixcount, nullptr);
if (pixcount > max_diff) {
std::string outfile = OutputNameToPath("failedxor.png");
LOG(INFO) << "outfile = " << outfile << "\n";
pixWrite(outfile.c_str(), pix, IFF_PNG);
}
pix.destroy();
LOG(INFO) << "At level " << level << ": pix diff = " << pixcount << "\n";
EXPECT_LE(pixcount, max_diff);
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// if (base::GetFlag(FLAGS_v) > 1) CHECK_LE(pixcount, max_diff);
}
// Rebuilds the text from the iterator strings at the given level, and
// EXPECTs that the rebuild string exactly matches the truth string.
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void VerifyIteratorText(const std::string &truth, PageIteratorLevel level, ResultIterator *it) {
LOG(INFO) << "Text Test Level " << level << "\n";
it->Begin();
std::string result;
do {
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char *text = it->GetUTF8Text(level);
result += text;
delete[] text;
if ((level == tesseract::RIL_WORD || level == tesseract::RIL_SYMBOL) &&
it->IsAtFinalElement(tesseract::RIL_WORD, level)) {
if (it->IsAtFinalElement(tesseract::RIL_TEXTLINE, level)) {
result += '\n';
} else {
result += ' ';
}
if (it->IsAtFinalElement(tesseract::RIL_PARA, level) &&
!(it->IsAtFinalElement(tesseract::RIL_BLOCK, level))) {
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result += '\n';
}
}
} while (it->Next(level));
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EXPECT_STREQ(truth.c_str(), result.c_str()) << "Rebuild failed at Text Level " << level;
}
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void VerifyRebuilds(int block_limit, int para_limit, int line_limit, int word_limit,
int symbol_limit, PageIterator *it, PageIteratorLevel maxlevel=tesseract::RIL_SYMBOL) {
VerifyRebuild(block_limit, tesseract::RIL_BLOCK, it);
VerifyRebuild(para_limit, tesseract::RIL_PARA, it);
VerifyRebuild(line_limit, tesseract::RIL_TEXTLINE, it);
VerifyRebuild(word_limit, tesseract::RIL_WORD, it);
if (maxlevel == tesseract::RIL_SYMBOL) {
VerifyRebuild(symbol_limit, maxlevel, it);
}
}
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void VerifyAllText(const std::string &truth, ResultIterator *it) {
VerifyIteratorText(truth, tesseract::RIL_BLOCK, it);
VerifyIteratorText(truth, tesseract::RIL_PARA, it);
VerifyIteratorText(truth, tesseract::RIL_TEXTLINE, it);
VerifyIteratorText(truth, tesseract::RIL_WORD, it);
VerifyIteratorText(truth, tesseract::RIL_SYMBOL, it);
}
// Verifies that ResultIterator::CalculateTextlineOrder() produces the right
// results given an array of word directions (word_dirs[num_words]), an
// expected output reading order
// (expected_reading_order[num_reading_order_entries]) and a given reading
// context (ltr or rtl).
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void ExpectTextlineReadingOrder(bool in_ltr_context, const StrongScriptDirection *word_dirs,
int num_words, int *expected_reading_order,
int num_reading_order_entries) const {
std::vector<StrongScriptDirection> gv_word_dirs;
for (int i = 0; i < num_words; i++) {
gv_word_dirs.push_back(word_dirs[i]);
}
std::vector<int> calculated_order;
ResultIterator::CalculateTextlineOrder(in_ltr_context, gv_word_dirs, &calculated_order);
// STL vector can be used with EXPECT_EQ, so convert...
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std::vector<int> correct_order(expected_reading_order,
expected_reading_order + num_reading_order_entries);
EXPECT_EQ(correct_order, calculated_order);
}
// Verify that ResultIterator::CalculateTextlineOrder() produces sane output
// for a given array of word_dirs[num_words] in ltr or rtl context.
// Sane means that the output contains some permutation of the indices
// 0..[num_words - 1] interspersed optionally with negative (marker) values.
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void VerifySaneTextlineOrder(bool in_ltr_context, const StrongScriptDirection *word_dirs,
int num_words) const {
std::vector<StrongScriptDirection> gv_word_dirs;
for (int i = 0; i < num_words; i++) {
gv_word_dirs.push_back(word_dirs[i]);
}
std::vector<int> output;
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ResultIterator::CalculateTextlineOrder(in_ltr_context, gv_word_dirs, &output);
ASSERT_GE(output.size(), num_words);
std::vector<int> output_copy(output);
std::sort(output_copy.begin(), output_copy.end());
bool sane = true;
unsigned j = 0;
while (j < output_copy.size() && output_copy[j] < 0) {
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j++;
}
for (int i = 0; i < num_words; i++, j++) {
if (output_copy[j] != i) {
sane = false;
break;
}
}
if (j != output_copy.size()) {
sane = false;
}
if (!sane) {
std::vector<int> empty;
EXPECT_EQ(output, empty) << " permutation of 0.." << num_words - 1 << " not found in "
<< (in_ltr_context ? "ltr" : "rtl") << " context.";
}
}
// Objects declared here can be used by all tests in the test case for Foo.
Image src_pix_; // Borrowed from api_. Do not destroy.
std::string ocr_text_;
tesseract::TessBaseAPI api_;
};
// Tests layout analysis output (and scrollview) on the UNLV page numbered
// 8087_054.3G.tif. (Dubrovnik), but only if --visual_test is true.
//
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// TEST_F(ResultIteratorTest, VisualTest) {
// if (!FLAGS_visual_test) return;
// const char* kIms[] = {"8087_054.3G.tif", "8071_093.3B.tif", nullptr};
// for (int i = 0; kIms[i] != nullptr; ++i) {
// SetImage(kIms[i]);
// // Just run layout analysis.
// PageIterator* it = api_.AnalyseLayout();
// EXPECT_FALSE(it == nullptr);
// // Make a scrollview window for the display.
// int width = pixGetWidth(src_pix_);
// int height = pixGetHeight(src_pix_);
// ScrollView* win =
// new ScrollView(kIms[i], 100, 100, width / 2, height / 2, width, height);
// win->Image(src_pix_, 0, 0);
// it->Begin();
// ScrollView::Color color = ScrollView::RED;
// win->Brush(ScrollView::NONE);
// do {
// Pta* pts = it->BlockPolygon();
// if (pts != nullptr) {
// win->Pen(color);
// int num_pts = ptaGetCount(pts);
// l_float32 x, y;
// ptaGetPt(pts, num_pts - 1, &x, &y);
// win->SetCursor(static_cast<int>(x), static_cast<int>(y));
// for (int p = 0; p < num_pts; ++p) {
// ptaGetPt(pts, p, &x, &y);
// win->DrawTo(static_cast<int>(x), static_cast<int>(y));
// }
// }
// ptaDestroy(&pts);
// } while (it->Next(tesseract::RIL_BLOCK));
// win->Update();
// delete win->AwaitEvent(SVET_DESTROY);
// delete win;
// delete it;
// }
//}
// Tests that Tesseract gets exactly the right answer on phototest.
TEST_F(ResultIteratorTest, EasyTest) {
SetImage("phototest.tif");
// Just run layout analysis.
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PageIterator *p_it = api_.AnalyseLayout();
EXPECT_FALSE(p_it == nullptr);
// Check iterator position.
EXPECT_TRUE(p_it->IsAtBeginningOf(tesseract::RIL_BLOCK));
// This should be a single block.
EXPECT_FALSE(p_it->Next(tesseract::RIL_BLOCK));
EXPECT_FALSE(p_it->IsAtBeginningOf(tesseract::RIL_BLOCK));
// The images should rebuild almost perfectly.
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LOG(INFO) << "Verifying image rebuilds 1 (pageiterator)"
<< "\n";
VerifyRebuilds(10, 10, 0, 0, 0, p_it);
delete p_it;
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char *result = api_.GetUTF8Text();
ocr_text_ = result;
delete[] result;
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ResultIterator *r_it = api_.GetIterator();
// The images should rebuild almost perfectly.
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LOG(INFO) << "Verifying image rebuilds 2a (resultiterator)"
<< "\n";
VerifyRebuilds(8, 8, 0, 0, 40, r_it, tesseract::RIL_WORD);
// Test the text.
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LOG(INFO) << "Verifying text rebuilds 1 (resultiterator)"
<< "\n";
VerifyAllText(ocr_text_, r_it);
// The images should rebuild almost perfectly.
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LOG(INFO) << "Verifying image rebuilds 2b (resultiterator)"
<< "\n";
VerifyRebuilds(8, 8, 0, 0, 40, r_it, tesseract::RIL_WORD);
r_it->Begin();
// Test baseline of the first line.
int x1, y1, x2, y2;
r_it->Baseline(tesseract::RIL_TEXTLINE, &x1, &y1, &x2, &y2);
LOG(INFO) << "Baseline ("
<< x1 << ',' << y1 << ")->(" << x2 << ',' << y2 << ")\n";
// Make sure we have a decent vector.
EXPECT_GE(x2, x1 + 400);
// The point 200,116 should be very close to the baseline.
// (x3,y3) is the vector from (x1,y1) to (200,116)
int x3 = 200 - x1;
int y3 = 116 - y1;
x2 -= x1;
y2 -= y1;
// The cross product (x2,y1)x(x3,y3) should be small.
int product = x2 * y3 - x3 * y2;
EXPECT_LE(abs(product), x2);
// Test font attributes for each word.
do {
float confidence = r_it->Confidence(tesseract::RIL_WORD);
#ifndef DISABLED_LEGACY_ENGINE
int pointsize, font_id;
bool bold, italic, underlined, monospace, serif, smallcaps;
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const char *font = r_it->WordFontAttributes(&bold, &italic, &underlined, &monospace, &serif,
&smallcaps, &pointsize, &font_id);
EXPECT_GE(confidence, 80.0f);
#endif
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char *word_str = r_it->GetUTF8Text(tesseract::RIL_WORD);
#ifdef DISABLED_LEGACY_ENGINE
LOG(INFO) << "Word " << word_str << ", conf " << confidence << "\n";
#else
LOG(INFO) << "Word " << word_str << " in font " << font
<< ", id " << font_id << ", size " << pointsize
<< ", conf " << confidence << "\n";
#endif // def DISABLED_LEGACY_ENGINE
delete[] word_str;
#ifndef DISABLED_LEGACY_ENGINE
EXPECT_FALSE(bold);
EXPECT_FALSE(italic);
EXPECT_FALSE(underlined);
EXPECT_FALSE(monospace);
EXPECT_FALSE(serif);
// The text is about 31 pixels high. Above we say the source is 200 ppi,
// which translates to:
// 31 pixels / textline * (72 pts / inch) / (200 pixels / inch) = 11.16 pts
EXPECT_GE(pointsize, 11.16 - 1.50);
EXPECT_LE(pointsize, 11.16 + 1.50);
#endif // def DISABLED_LEGACY_ENGINE
} while (r_it->Next(tesseract::RIL_WORD));
delete r_it;
}
// Tests image rebuild on the UNLV page numbered 8087_054.3B.tif. (Dubrovnik)
TEST_F(ResultIteratorTest, ComplexTest) {
SetImage("8087_054.3B.tif");
// Just run layout analysis.
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PageIterator *it = api_.AnalyseLayout();
EXPECT_FALSE(it == nullptr);
// The images should rebuild almost perfectly.
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VerifyRebuilds(2073, 2073, 2080, 2081, 2090, it);
delete it;
}
// Tests image rebuild on the UNLV page numbered 8087_054.3G.tif. (Dubrovnik)
TEST_F(ResultIteratorTest, GreyTest) {
SetImage("8087_054.3G.tif");
// Just run layout analysis.
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PageIterator *it = api_.AnalyseLayout();
EXPECT_FALSE(it == nullptr);
// The images should rebuild almost perfectly.
VerifyRebuilds(600, 600, 600, 600, 600, it);
delete it;
}
// Tests that Tesseract gets smallcaps and dropcaps.
TEST_F(ResultIteratorTest, SmallCapDropCapTest) {
#ifdef DISABLED_LEGACY_ENGINE
// Skip test as LSTM mode does not recognize smallcaps & dropcaps attributes.
GTEST_SKIP();
#else
SetImage("8071_093.3B.tif");
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char *result = api_.GetUTF8Text();
delete[] result;
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ResultIterator *r_it = api_.GetIterator();
// Iterate over the words.
int found_dropcaps = 0;
int found_smallcaps = 0;
int false_positives = 0;
do {
bool bold, italic, underlined, monospace, serif, smallcaps;
int pointsize, font_id;
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r_it->WordFontAttributes(&bold, &italic, &underlined, &monospace, &serif, &smallcaps,
&pointsize, &font_id);
char *word_str = r_it->GetUTF8Text(tesseract::RIL_WORD);
if (word_str != nullptr) {
LOG(INFO) << "Word " << word_str
<< " is " << (smallcaps ? "SMALLCAPS" : "Normal") << "\n";
if (r_it->SymbolIsDropcap()) {
++found_dropcaps;
}
if (strcmp(word_str, "SHE") == 0 || strcmp(word_str, "MOPED") == 0 ||
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strcmp(word_str, "RALPH") == 0 || strcmp(word_str, "KINNEY") == 0 || // Not working yet.
strcmp(word_str, "BENNETT") == 0) {
EXPECT_TRUE(smallcaps) << word_str;
++found_smallcaps;
} else {
if (smallcaps) {
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++false_positives;
}
}
// No symbol other than the first of any word should be dropcap.
ResultIterator s_it(*r_it);
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while (s_it.Next(tesseract::RIL_SYMBOL) && !s_it.IsAtBeginningOf(tesseract::RIL_WORD)) {
if (s_it.SymbolIsDropcap()) {
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char *sym_str = s_it.GetUTF8Text(tesseract::RIL_SYMBOL);
LOG(ERROR) << "Symbol " << sym_str << " of word " << word_str << " is dropcap";
delete[] sym_str;
}
EXPECT_FALSE(s_it.SymbolIsDropcap());
}
delete[] word_str;
}
} while (r_it->Next(tesseract::RIL_WORD));
delete r_it;
EXPECT_EQ(1, found_dropcaps);
EXPECT_GE(4, found_smallcaps);
EXPECT_LE(false_positives, 3);
#endif // DISABLED_LEGACY_ENGINE
}
#if 0
// TODO(rays) uncomment on the next change to layout analysis.
// CL 22736106 breaks it, but it is fixed in the change when
// the textline finders start to collapse.
// Tests that Tesseract gets subscript and superscript.
// TODO(rays) This test is a bit feeble, due to bad textline finding on this
// image, so beef up the test a bit when we get less false positive subs.
TEST_F(ResultIteratorTest, SubSuperTest) {
SetImage("0146_281.3B.tif");
char* result = api_.GetUTF8Text();
delete [] result;
ResultIterator* r_it = api_.GetIterator();
// Iterate over the symbols.
// Accuracy isn't great, so just count up and expect a decent count of
// positives and negatives.
const char kAllowedSupers[] = "O0123456789-";
int found_subs = 0;
int found_supers = 0;
int found_normal = 0;
do {
if (r_it->SymbolIsSubscript()) {
++found_subs;
} else if (r_it->SymbolIsSuperscript()) {
result = r_it->GetUTF8Text(tesseract::RIL_SYMBOL);
if (strchr(kAllowedSupers, result[0]) == nullptr) {
char* word = r_it->GetUTF8Text(tesseract::RIL_WORD);
LOG(ERROR) << "Char " << result << " in word " << word << " is unexpected super!";
delete [] word;
EXPECT_TRUE(strchr(kAllowedSupers, result[0]) != nullptr);
}
delete [] result;
++found_supers;
} else {
++found_normal;
}
} while (r_it->Next(tesseract::RIL_SYMBOL));
delete r_it;
LOG(INFO) << "Subs = " << found_subs << ", supers= " << found_supers
<< ", normal = " << found_normal << "\n";
EXPECT_GE(found_subs, 25);
EXPECT_GE(found_supers, 25);
EXPECT_GE(found_normal, 1350);
}
#endif
static const StrongScriptDirection dL = DIR_LEFT_TO_RIGHT;
static const StrongScriptDirection dR = DIR_RIGHT_TO_LEFT;
static const StrongScriptDirection dN = DIR_NEUTRAL;
// Test that a sequence of words that could be interpreted to start from
// the left side left-to-right or from the right side right-to-left is
// interpreted appropriately in different contexts.
TEST_F(ResultIteratorTest, DualStartTextlineOrderTest) {
const StrongScriptDirection word_dirs[] = {dL, dL, dN, dL, dN, dR, dR, dR};
int reading_order_rtl_context[] = {7, 6, 5, 4, ResultIterator::kMinorRunStart,
0, 1, 2, 3, ResultIterator::kMinorRunEnd};
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int reading_order_ltr_context[] = {
0, 1, 2, 3, 4, ResultIterator::kMinorRunStart, 7, 6, 5, ResultIterator::kMinorRunEnd};
ExpectTextlineReadingOrder(true, word_dirs, countof(word_dirs), reading_order_ltr_context,
countof(reading_order_ltr_context));
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ExpectTextlineReadingOrder(false, word_dirs, countof(word_dirs), reading_order_rtl_context,
countof(reading_order_rtl_context));
}
// Tests that clearly left-direction text (with no right-to-left indications)
// comes out strictly left to right no matter the context.
TEST_F(ResultIteratorTest, LeftwardTextlineOrderTest) {
const StrongScriptDirection word_dirs[] = {dL, dL, dN, dL, dN, dN, dL, dL};
// The order here is just left to right, nothing fancy.
int reading_order_ltr_context[] = {0, 1, 2, 3, 4, 5, 6, 7};
// In the strange event that this shows up in an RTL paragraph, nonetheless
// just presume the whole thing is an LTR line.
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int reading_order_rtl_context[] = {ResultIterator::kMinorRunStart, 0, 1, 2, 3, 4, 5, 6, 7,
ResultIterator::kMinorRunEnd};
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ExpectTextlineReadingOrder(true, word_dirs, countof(word_dirs), reading_order_ltr_context,
countof(reading_order_ltr_context));
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ExpectTextlineReadingOrder(false, word_dirs, countof(word_dirs), reading_order_rtl_context,
countof(reading_order_rtl_context));
}
// Test that right-direction text comes out strictly right-to-left in
// a right-to-left context.
TEST_F(ResultIteratorTest, RightwardTextlineOrderTest) {
const StrongScriptDirection word_dirs[] = {dR, dR, dN, dR, dN, dN, dR, dR};
// The order here is just right-to-left, nothing fancy.
int reading_order_rtl_context[] = {7, 6, 5, 4, 3, 2, 1, 0};
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ExpectTextlineReadingOrder(false, word_dirs, countof(word_dirs), reading_order_rtl_context,
countof(reading_order_rtl_context));
}
TEST_F(ResultIteratorTest, TextlineOrderSanityCheck) {
// Iterate through all 7-word sequences and make sure that the output
// contains each of the indices 0..6 exactly once.
const int kNumWords(7);
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const int kNumCombos = 1 << (2 * kNumWords); // 4 ^ 7 combinations
StrongScriptDirection word_dirs[kNumWords];
for (int i = 0; i < kNumCombos; i++) {
// generate the next combination.
int tmp = i;
for (auto &word_dir : word_dirs) {
word_dir = static_cast<StrongScriptDirection>(tmp % 4);
tmp = tmp / 4;
}
VerifySaneTextlineOrder(true, word_dirs, kNumWords);
VerifySaneTextlineOrder(false, word_dirs, kNumWords);
}
}
// TODO: Missing image
TEST_F(ResultIteratorTest, DISABLED_NonNullChoicesTest) {
SetImage("5318c4b679264.jpg");
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char *result = api_.GetUTF8Text();
delete[] result;
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ResultIterator *r_it = api_.GetIterator();
// Iterate over the words.
do {
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char *word_str = r_it->GetUTF8Text(tesseract::RIL_WORD);
if (word_str != nullptr) {
LOG(INFO) << "Word " << word_str << ":\n";
ResultIterator s_it = *r_it;
do {
tesseract::ChoiceIterator c_it(s_it);
do {
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const char *char_str = c_it.GetUTF8Text();
if (char_str == nullptr) {
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LOG(INFO) << "Null char choice"
<< "\n";
} else {
LOG(INFO) << "Char choice " << char_str << "\n";
}
CHECK(char_str != nullptr);
} while (c_it.Next());
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} while (!s_it.IsAtFinalElement(tesseract::RIL_WORD, tesseract::RIL_SYMBOL) &&
s_it.Next(tesseract::RIL_SYMBOL));
delete[] word_str;
}
} while (r_it->Next(tesseract::RIL_WORD));
delete r_it;
}
// TODO: Missing image
TEST_F(ResultIteratorTest, NonNullConfidencesTest) {
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// SetImage("line6.tiff");
SetImage("trainingitalline.tif");
api_.SetPageSegMode(tesseract::PSM_SINGLE_BLOCK);
// Force recognition so we can used the result iterator.
// We don't care about the return from GetUTF8Text.
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char *result = api_.GetUTF8Text();
delete[] result;
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ResultIterator *r_it = api_.GetIterator();
// Iterate over the words.
do {
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char *word_str = r_it->GetUTF8Text(tesseract::RIL_WORD);
if (word_str != nullptr) {
EXPECT_FALSE(r_it->Empty(tesseract::RIL_WORD));
EXPECT_FALSE(r_it->Empty(tesseract::RIL_SYMBOL));
ResultIterator s_it = *r_it;
do {
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const char *char_str = s_it.GetUTF8Text(tesseract::RIL_SYMBOL);
CHECK(char_str != nullptr);
float confidence = s_it.Confidence(tesseract::RIL_SYMBOL);
LOG(INFO) << "Char " << char_str << " has confidence " << confidence << "\n";
delete[] char_str;
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} while (!s_it.IsAtFinalElement(tesseract::RIL_WORD, tesseract::RIL_SYMBOL) &&
s_it.Next(tesseract::RIL_SYMBOL));
delete[] word_str;
} else {
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LOG(INFO) << "Empty word found"
<< "\n";
}
} while (r_it->Next(tesseract::RIL_WORD));
delete r_it;
}
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} // namespace tesseract